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Challenges in real-time prediction of infectious disease: A case study of dengue in Thailand.

Abstract:

Epidemics of communicable diseases place a huge burden on public health infrastructures across the world. Producing accurate and actionable forecasts of infectious disease incidence at short and long time scales will improve public health response to outbreaks. However, scientists and public health officials face many obstacles in trying to create such real-time forecasts of infectious disease incidence. Dengue is a mosquito-borne virus that annually infects over 400 million people worldwide....

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pntd.0004761

Authors


Sakrejda, K More by this author
Iamsirithaworn, S More by this author
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Role:
Editor
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Neglected Tropical Diseases Journal website
Volume:
10
Issue:
6
Pages:
e0004761
Publication date:
2016-06-05
Acceptance date:
2016-05-14
DOI:
EISSN:
1935-2735
ISSN:
1935-2727
Pubs id:
pubs:693853
URN:
uri:dddf0d44-d3a5-4e61-b51e-cef7a966f3ae
UUID:
uuid:dddf0d44-d3a5-4e61-b51e-cef7a966f3ae
Local pid:
pubs:693853

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